Content-Based Mining of Query Replacements

Name: Content-Based Mining of Query Replacements
Brand: VDM Verlag Dr. Mueller E.K.
SKU: 9783639091212
Price: 47.35 EUR
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A Probabilistic Approach to Bridging the Semantic Gap Between Search Phrases and Items' Information

Autor: Hung V Nguyen

Jazyk:

Väzba: Brožovaná

Vydavateľ: VDM Verlag Dr. Mueller E.K.

Dostupnosť: Skladom u dodávateľa

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This dissertation introduces the problem of content-based query replacement. It motivatesthe term co...

Informácie o knihe

Autor

Hung V Nguyen

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2008

Stránok

EAN

9783639091212

ISBN

3639091213

Enbook ID

06818221

Vydavateľ

VDM Verlag Dr. Mueller E.K.

Hmotnosť

113

Rozmery

152 x 229 x 4

Kompletný popis

This dissertation introduces the problem of content-based query replacement. It motivatesthe term correlation modeled using MRFs and thesampling based technique to learn thesearch phrase definitions. These definitions areused as alternative queries to achieve higheraccuracy in several retrieval tasks.Retrieving relevant documents while eliminatingirrelevant documents for an user squery is a challenging task which involves a goodunderstanding of the relation betweenthe data and the query as well as developingalgorithms that can efficiently measure therelevance of the data to the query. As part of thisdissertation, we have developed a hypothesis toreduce the problem of mining search phrasedefinitions significantlyby modeling the joint distribution of terms as aproduct of conditional distributions,modeled as a Markov Random Field. We assume thatthere exists an underlying jointdistribution among terms that are used to describethe search phrase. The modelingwe propose is a condensed representation of inter-term relationship and it appears tocapture insight statistics among terms.describes a target phrase.

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Content-Based Mining of Query Replacements

A Probabilistic Approach to Bridging the Semantic Gap Between Search Phrases and Items' Information

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Kompletný popis

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